The float data type is used to store floating-point numbers (decimal numbers).

A float value always contains a decimal point.

Python supports both positive and negative decimal values.

Float values represent numbers with a decimal point.

Some examples are:

10.5
0.25
-15.75

Python also allows float values to be written in scientific notation.

You can use either e or E.

Syntax:

numberePower

or

numberEPower

The value 1.2e3 means:

1.2 × 10³

So the result is 1200.0.

• Represents very large numbers easily.
• Makes code easier to read.
• Useful in scientific calculations.
• Commonly used in engineering and data science.

Unlike integers, float values can only be written in decimal form.

Float values cannot be represented using binary, octal, or hexadecimal literals.

The type() function is used to check the data type of a value.

No output captured.

int	float
Stores whole numbers.	Stores decimal numbers.
No decimal point.	Contains a decimal point.
Example: 10	Example: 10.5

• The float data type stores decimal numbers.
• Float values are immutable.
• Scientific notation is supported.
• Both e and E can be used in scientific notation.
• Binary, octal, and hexadecimal float literals are not allowed.

• The float data type represents decimal numbers.
• Float values always contain a decimal point.
• Scientific notation can be used for very large or very small values.
• Use type() to check whether a value is a float.
• Float values support only decimal representation.

Feature	Description
Data Type	float
Purpose	Stores decimal numbers
Example	10.5
Scientific Notation	Supported
Binary Float	Not Allowed
Octal Float	Not Allowed
Hexadecimal Float	Not Allowed
Mutable	No (Immutable)